# AA-Omniscience-Decision non-hallucination rate leaderboard

external benchmark

> Every figure below is reproduced as its upstream source published it: nothing is modelled, estimated, interpolated or converted. `Unavailable` means no source published the value — it is never a zero. Each value carries its evidence state and the date it was observed.

Page: https://modelscale.dev/leaderboards/benchmarks/external-aa-decision-omniscience-non-hallucination

Every model the catalog carries a published AA-Omniscience-Decision non-hallucination rate value for, ranked by that value.

## Benchmark record

| Field | Value |
| --- | --- |
| Category | external |
| Measure | Abstention rate on missed questions |
| Tasks | — |
| Difficulty | Knowledge questions with an abstain option |
| Published by | [Artificial Analysis Decision Index v1.0](https://artificialanalysis.ai/articles/artificial-analysis-decision-index) |

AA-Omniscience-Decision non-hallucination rate is one component of the Artificial Analysis Decision Index v1.0, run by Artificial Analysis. It is the share of questions not answered correctly where the model chose "I don't know" instead of a wrong answer. Higher is better.

## AA-Omniscience-Decision non-hallucination rate ranking

13 models with a published AA-Omniscience-Decision non-hallucination rate value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.

| Rank | Model | Provider | Abstention rate on missed questions | Evidence |
| --- | --- | --- | --- | --- |
| 1 | [elephant-1](https://modelscale.dev/models/elephant-1) | Baseten | 93.2 | Observed 2026-10-23 · source benchlm:models |
| 2 | [d1-ultra](https://modelscale.dev/models/d1-ultra) | Liquid AI | 84.5 | Observed 2026-10-23 · source benchlm:models |
| 3 | [Microsoft-Decision-1](https://modelscale.dev/models/microsoft-decision-1) | Microsoft | 39.8 | Observed 2026-10-23 · source benchlm:models |
| 4 | [Jev 1.14](https://modelscale.dev/models/jev-1-14) | TypeSafe AI | 37.2 | Observed 2026-10-23 · source benchlm:models |
| 5 | [Mercury Decide](https://modelscale.dev/models/mercury-decide) | Inception | 32.0 | Observed 2026-10-23 · source benchlm:models |
| 6 | [Perplexity Decider v1.2 27B](https://modelscale.dev/models/pplx-decider-v1-2) | Perplexity | 16.5 | Observed 2026-10-23 · source benchlm:models |
| 7 | [GLiDE](https://modelscale.dev/models/fastino-glide) | Fastino | 16.4 | Observed 2026-10-23 · source benchlm:models |
| 8 | [Perplexity Decider Flash v1.2 4B](https://modelscale.dev/models/pplx-decider-flash-v1-2) | Perplexity | 6.5 | Observed 2026-10-23 · source benchlm:models |
| 9 | [Clef](https://modelscale.dev/models/cloudflare-clef) | Cloudflare | 4.3 | Observed 2026-10-23 · source benchlm:models |
| 10 | [Clef-Flash](https://modelscale.dev/models/cloudflare-clef-flash) | Cloudflare | 2.7 | Observed 2026-10-23 · source benchlm:models |
| 11 | [d1](https://modelscale.dev/models/liquid-d1) | Liquid AI | 1.7 | Observed 2026-10-23 · source benchlm:models |
| 12 | [Clef-Omni](https://modelscale.dev/models/cloudflare-clef-omni) | Cloudflare | 1.6 | Observed 2026-10-23 · source benchlm:models |
| 13 | [Celeris-1 Decision](https://modelscale.dev/models/celeris-1-decision) | Celeris | 0.0 | Observed 2026-10-23 · source benchlm:models |

Rows are ordered by the value the source published, highest first. The source does not state whether a higher value is the better result, so this document does not either: for a benchmark that measures a rate of failure, read the table from the bottom.